Articles tagged with Magnetic Resonance Imaging
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A novel technique of three-dimensional (3D) slice-to-volume (SVR) MRI allows for precise delineation and measurement of the fetal optic pathway (FOP). The study found that FOP was visualized in 9 cases in unprocessed fetal MRIs, compared to 55 cases in 3D SVR images.
Research finds that endocannabinoids protect against addiction in individuals exposed to childhood maltreatment. The 'resilient' group showed increased function of the endocannabinoid system and different brain activity compared to other groups.
A new study published in Neurology shows that younger brain age is associated with superior post-stroke outcomes, suggesting a potential biomarker for stroke rehabilitation. The research team used multi-site data sets and 3D brain structural MRIs to analyze the relationship between brain age and stroke recovery.
A Swansea University study reveals the potential of machine learning in identifying Ankylosing Spondylitis (AS) patients, reducing diagnosis delays from eight years to earlier. The research uses a national data repository to develop a predictive model for AS detection, empowering GPs to refer patients more efficiently.
A team led by Bill Ballard has published a new study in GigaScience to propose Cooinda, an Alpine dingo, as the model specimen to represent a typical dingo. The study presents genomic and brain imaging data that sheds light on the evolutionary history of dingoes and their domestication process.
A printable multi-energy X-ray detector made from perovskite thin films has been developed with enhanced flexibility and sensitivity. The detector can operate in a broad energy range, from 0.1 KeV to tens of KeV, making it suitable for real-time detection and imaging applications such as disease diagnosis and explosives detection.
Biyu J. He's groundbreaking research on perceptual cognition and subjective experience has challenged traditional views of consciousness. Her work explores how past experiences shape individual perception and understanding, using innovative techniques like fMRI and EEG.
A recent study suggests that cardiac sphericity, or the roundness of the heart, may be a useful indicator for diagnosing cardiovascular conditions. The research used machine learning to analyze medical images and found a link between increased sphericity and future heart troubles.
A large-scale study found that diagnostic errors in neuroradiology were associated with longer interpretation times and higher shift volumes. The study also revealed a significant increase in diagnostic errors during weekend work, highlighting the need for targeted quality improvement interventions.
Researchers from the Smidt Heart Institute found that individuals with spherical hearts are 31% more likely to develop atrial fibrillation and 24% more likely to develop cardiomyopathy. The study identified four genes associated with cardiomyopathy and a greater risk of developing atrial fibrillation.
High blood pressure damages specific brain regions, including the putamen and white matter areas, leading to cognitive decline and increased risk of dementia. The study uses a combination of MRI, genetic analyses, and observational data to identify these affected regions.
A Rutgers study found that criteria used to diagnose multiple sclerosis in adults may not be sufficient for pediatric patients, who often go undetected in early stages. The study suggests that diagnostic tools used for adults may need to be re-evaluated for children with abnormal MRI findings.
Researchers developed a non-invasive imaging tool to create real-time images of uterine contractions during labor. The electromyometrial imaging (EMMI) technique provides detailed information on contraction patterns, which can help improve labor management and clinical decision-making.
Researchers have developed a new imaging approach to diagnose advanced non-alcoholic fatty liver disease (NASH). The enzyme-sensitive nanoprobe emits signals that can be detected by MRI techniques, providing more accurate and sensitive data for diagnosis. This breakthrough aims to improve the treatment outcomes of NASH patients.
A new consensus statement calls for routine radiological screening of contact children in suspected child physical abuse cases to prevent further harm. Siblings are at risk of experiencing physical abuse, with a strong association between index and contact children.
A new rehabilitation strategy for brain injuries is being developed by OU researcher Yuan Yang, who will use multi-modal MRI scans and electrical neural activity scans to assess changes in motor control. The goal is to reduce recovery time and healthcare costs for stroke survivors.
A recent MRI study by the CNIC has established reference values for anatomical and functional parameters in adolescents' hearts, providing a crucial resource for clinical practice. The study involved 123 adolescents and aimed to fill the knowledge gap on 'normal' cardiac parameter values in this age group.
A new AR system using HoloLens enables doctors to perform transperineal prostate interventions with high accuracy and flexibility. The system provides a 3D immersive experience, allowing doctors to guide needles to their target with ease.
Scientists at the University of Missouri have developed a novel method to detect food adulteration using nuclear magnetic resonance (NMR) spectroscopy. The technique can identify vegetable oil adulterants in hard cheese products with high accuracy, leading to improved consumer safety and product authenticity.
The American Roentgen Ray Society (ARRS) has awarded four radiologists with the 2023 Resident/Fellow in Radiology Awards for their exceptional research, education, and administrative work. Drs. Elliot T. Varney, Vincius Alves, Luca Pasquini, and Pallavi Srivastava will present their research findings at the upcoming ARRS Annual Meeting...
A study found that over 80% of American adults with type 2 diabetes meet the criteria to use GLP-1 RAs or SGLT2is, but only a small percentage are using them. The medications have a substantially higher cost than current first-line treatments, making it difficult for patients to access them.
A recent study published in JHEP Reports found that individuals with low thigh muscle volume and high muscle fat infiltration had an increased mortality risk. The researchers also discovered that poor muscle health was not associated with a worsened prognosis in people with fatty liver disease.
Researchers found that gadolinium nanoparticles from MRI contrast agents can infiltrate kidney cells, causing severe side effects like nephrogenic systemic fibrosis. The study used electron microscopy to detect tiny deposits of gadolinium in the kidneys of people who had been injected with contrast agents prior to their MRIs.
Researchers studied functional brain connectivity in fighter pilots to understand its relevance to astronauts. They found specific brain connectivity patterns that may aid in training programs for pilots and astronauts.
Research found PIRI to be an independent predictor of infarct growth rate and 90-day outcomes in large-vessel occlusive stroke. The study suggests PIRI may help identify patients who could benefit from late-window endovascular thrombectomy.
Researchers used MRI scans and texture analysis to differentiate between two types of benign oral bone lesions, ameloblastomas and odontogenic keratocysts. The study found that certain pixel and voxel organizational parameters in the MRI images were statistically significant, enabling more accurate diagnosis and treatment planning.
A new study found that 59% of long COVID patients experienced persistent organ damage a year after initial symptoms, even among those not severely affected initially. The study also revealed significant impairment in multi-organ function and quality of life.
Scientists have detailed the atomic structure of superconducting RbV3Sb5 at 103 degrees Kelvin, revealing a unique lattice pattern and charge-density wave. This breakthrough provides a new understanding of exotic states of matter and brings researchers closer to developing higher-temperature superconductors.
Ultrafast MRI provides beneficial information for predicting DCIS upgrade to invasive cancer, including time to enhancement and lesion size. A study found that UF-MRI can accurately predict lesions diagnosed as DCIS at percutaneous biopsy that will be upgraded to invasive cancer at surgery.
Chemist Alexej Jerschow receives the first Carl Zeiss Humboldt Research Award for his exceptionally broad research approach in nuclear magnetic resonance. He will collaborate with the team of Dmitry Budker at Mainz University and access to EUR 50,000 for activities during his stay in Germany.
Researchers at Heidelberg University developed tailor-made metal complexes with exceptional stability, suitable for use in medical imaging and potential applications in personalized precision medicine. The complexes exhibit improved MRI efficiency compared to existing substances.
A new study suggests that intensive blood pressure treatment may slow the accumulation of toxins in the brain's perivascular spaces, a dynamic area involved in brain clearance. This finding is significant for understanding the relationship between high blood pressure and cognitive decline.
Research suggests that poor oral health may contribute to declines in brain function and cognitive abilities. A recent study analyzed the relationship between oral health and brain health among approximately 40,000 adults and found a potential link between gum disease and white matter hyperintensities.
A systematic review and meta-analysis found that MRI-based surveillance after surgical treatment can detect clinically occult local recurrences, potentially improving patient outcomes. The study included 19 studies and showed a significant association between high-intensity surveillance and the detection of local recurrences.
A 20-year study reveals that recent advances in surgical and clinical care have significantly reduced brain injuries in babies with congenital heart disease. Infants who received higher postoperative blood pressure had a 20% lower risk of brain injury compared to those in earlier stages.
Researchers found that Black children experienced more childhood adversity than White children, leading to differential changes in brain regions linked to psychiatric disease. The study suggests that structural racism may play a significant role in these differences.
A meta-analysis of 22 studies found that breast MRI was superior to other supplemental screening methods in detecting breast cancer in women with dense breasts. This is because breast MRI can detect even the smallest of cancers, making it a valuable tool for identifying high-risk patients.
A cohort study of over 600 persons with non-MRI-conditional implantable cardioverter defibrillators found that these devices continue to appropriately treat detected tachyarrhythmias after MRI scans. The findings suggest that patients with non-MRI-conditional ICDs can safely undergo MRI exams without compromising device function.
A new MRI definition for osteoarthritis (OA) has been developed by BU researchers, which can improve the detection of OA in research studies. This definition uses a combination of cartilage damage and small osteophytes to accurately identify joints with OA.
Researchers created monthly infant brain atlases to track normative trends in brain development. The atlases reveal changes in brain structure, cortical geometry, and tissue contrast, shedding light on conditions like ADHD and dyslexia. The study aims to facilitate discovery of new insights into child cognition and social behavior.
Pregnant women infected with Covid-19 may experience varying degrees of damage to their placentas, potentially harming fetal development and health. The study found that pre-Omicron variants caused more severe lesions than Omicron subvariants.
Researchers at Beckman Institute for Advanced Science and Technology will use a unique combination of MRI and mass spectrometry imaging techniques to study Alzheimer's disease on an unprecedented scale. By capturing detailed chemical information, they aim to understand the molecular-level changes that occur in aging brains and develop ...
A new American Heart Association scientific statement emphasizes the importance of rapid evaluation for TIA, which can lead to full-blown stroke. The statement offers a standardized approach to evaluating people with suspected TIA, including guidance for hospitals in rural areas with limited resources.
Researchers analyzed MRI images of Olympic athletes' injuries during the 2020 Tokyo Games and found that those with tendon tears were more likely to drop out. The study aims to improve injury management and prevention by understanding different types of muscle injuries and their outcomes.
A computational model predicts brain tumour growth using MRI data, providing valuable insights for clinicians. The study uses anonymous patient data to develop a predictive model for glioblastoma multiforme (GBM) growth, which can be used to inform treatment decisions.
A new study found that MRI-guided radiotherapy is more effective than CT-guided therapy in reducing side effects and improving quality of life for patients with localized prostate cancer. The trial involved 154 patients, who experienced fewer toxicities and better outcomes when treated with MRI guidance.
A new AI model developed at USC accurately captures cognitive decline linked to neurodegenerative diseases like Alzheimer's much earlier than previous methods. The model analyzes MRI brain scans and detects subtle brain anatomy markers that correlate with cognitive decline, offering an unprecedented glimpse into human cognition.
The EMBRACE-I study demonstrated the superiority of personalized brachytherapy in treating locally advanced cervical cancer. A targeted approach using magnetic resonance imaging-defined tumor volume resulted in a high tumor control rate and low risk of recurrence.
Researchers developed an advanced MRI tool that reveals structural insights into atherothrombosis by detecting regions at risk of rupture or atherothrombosis. The tool provides new information on fatty material formation in arteries, improving diagnosis and treatment outcomes for individuals with atherosclerotic disease.
Researchers at MIT developed a new sensor that converts light into a magnetic signal detectable by MRI, allowing for the mapping of light distribution in tissue. This breakthrough has implications for optogenetic experiments and monitoring patients receiving light-based therapies for cancer treatment.
A new study published in the American Journal of Roentgenology found significant cost savings by eliminating sedation during pediatric brain MRI examinations. The analysis calculated costs for sedated, nonsedated, and limited MRI exams at three US hospitals, revealing that labor costs were the largest expense category.
Jon A. Jacobson, MD, FACR, has been recognized as the 2023 ARRS Distinguished Educator for his exceptional contributions to radiological education and innovative educational activities. He is a renowned expert in musculoskeletal ultrasound and MRI, with over 250 peer-reviewed publications.
A Cedars-Sinai study found that even subtle forms of liver disease directly impact heart health, with elevated FIB-4 scores associated with abnormalities in heart function and vascular dimension. Cardiac MRI scans revealed that nearly 86% of patients had at least one heart abnormality.
A new diagnostic pathway for prostate cancer reduces the number of harmless tumors found during screening, halving the risk of overdiagnosis. This strategy involves using MRI to guide targeted tissue sampling, reducing the need for unnecessary biopsies and associated complications.
A new study found that impaired glymphatic system function is associated with Alzheimer's disease progression. Noninvasive MRI measures of the glymphatic system's volume and diffusivity were linked to amyloid beta deposition, neuronal damage, and cognitive impairment in patients with Alzheimer's.
Researchers have identified optimal blood tests to detect Alzheimer's disease at its earliest stages. The study found that phospho-tau217 is a reliable marker for monitoring disease progression and selecting individuals for novel trials.
Researchers at USTC developed a novel MRI contrast agent using highly hydrated paramagnetic amorphous calcium carbonate nanoclusters, exhibiting improved relaxivity and mass production. The material shows great potential in creating efficient diagnostic agents with low toxicity.
A Cornell-led collaboration used machine learning to predict Alzheimer's progression in cognitively normal and mildly impaired individuals. The modeling showed that MRI scans are most informative for asymptomatic cases, while PET scans are more effective for those with mild cognitive impairment.
A new MRI study reveals that even low to moderate amounts of alcohol consumption during pregnancy can change the baby's brain structure, leading to delayed brain development. Brain changes were seen in fetuses exposed to alcohol even at low levels, with significant effects on social cognition and language perception.
Researchers used MRI to analyze brain changes in patients up to six months after COVID-19 recovery. Significant abnormalities were found in the frontal lobe and brain stem, including differences in white matter and regions linked to fatigue, insomnia, anxiety, depression, headaches, and cognitive problems.